Impact of genetic ancestry on chronological age prediction using DNA methylation analysis
Author:
Publisher
Elsevier BV
Subject
Genetics,Pathology and Forensic Medicine
Reference4 articles.
1. Epigenetic age predictions based on buccal swabs are more precise in combination with cell type-specific DNA methylation signatures;Eipel;Aging,2016
2. Development of a forensically useful age prediction method based on DNA methylation analysis;Zbieć-Piekarska;Forensic Sci. Int. Genet.,2015
3. Development of a methylation marker set for forensic age estimation using analysis of public methylation data and the Agena Bioscience EpiTYPER system;Freire-Aradas;Forensic Sci. Int. Genet.,2016
4. Aging of blood can be tracked by DNA methylation changes at just three CpG sites;Weidner;Genome Biol.,2014
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2. Investigation of the impact of biogeographic ancestry on DNA methylation based age predictions comparing a Middle East and a Central European population;Forensic Science International: Genetics;2023-11
3. Prediction of chronological age and its applications in forensic casework: methods, current practices, and future perspectives;Forensic Sciences Research;2023-06
4. Getting the chronological age out of DNA: using insights of age-dependent DNA methylation for forensic DNA applications;Genes & Genomics;2023-05-30
5. Epigenome-wide screening of CpG markers to develop a multiplex methylation SNaPshot assay for age prediction;Legal Medicine;2022-11
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